As a Senior Reporting Analyst, you’ll play a key role on the Reporting Team, aligning cross-functional goals and driving strategic initiatives through advanced analytics. You’ll bring a full-lifecycle project perspective and a sharp analytical mindset. Manage and grow a Power BI reporting portfolio used by 900+ users across departments. Translate business needs into clear technical documentation for report development.
As a Senior Analytics Engineer at Bungie, you will be responsible for building and extending the data warehouse for our analytics platform, with a primary focus on Marathon. You will design and develop scalable data models that bridge the gap between raw data and business insights. You will work closely with analysts, data scientists, and game developers to understand their analytical needs and transform complex gaming data into accessible, reliable datasets.
We’re seeking a GCP Data Analyst with deep expertise in BigQuery, strong SQL and Python skills, and a sharp analytical mindset to support both data validation initiatives and ongoing analytics work. The analyst will work across a variety of data workflows, from validating metrics during system migrations to supporting day-to-day data analysis and reporting needs. You’ll leverage advanced BigQuery features to ensure data integrity and surface meaningful insights.
The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. This role supports the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases, while focusing on optimisation of our Data Warehouse.
This position is needed to co-create with Generative AI tools, partner closely with business stakeholders, and turn data into decision-driving narratives, working at the intersection of strategic insight generation, technical analytics, and AI-augmented discovery, helping us not just answer questions, but ask better ones.
Seeking an experienced Data Engineer to assist with the migration of our Energy Portfolio data from a legacy application to Gentrack Junifer. This contract role involves designing and building scalable data pipelines, data modeling, and collaborating with stakeholders to build analytics solutions. The role delivers progress by improving data and reducing complexity.
We're seeking a Senior Data Engineer to build and enhance data solutions and AI initiatives for the business of insurance. You will work closely with the Principal Data Architect, Data Scientists, and Software Engineers to build, model, and maintain data solutions as we optimize data architecture and accessibility of large-scale datasets for our global teams.
As a Marketing Data Scientist, you will play a key role in improving how we connect with millions of customers - online and offline. You will drive data-powered marketing strategies and optimize attribution models. Analyze customer, marketing, and onsite data using SQL and Python to enhance marketing campaign performance and customer engagement.
As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.
The Analytics Engineer will join the Data Foundations team to build and monitor pipelines that power analytics across core healthcare datasets like medical claims, pharmacy, lab results and biometric data. This role involves building robust, scalable data models in DBT + BigQuery, serving use cases across product, operations and clinical teams. It’s ideal for someone technically strong in SQL/DBT, experienced with healthcare data and eager to work at the intersection of infrastructure, data quality and downstream impact.